Large steps in cloth simulation
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
An object-oriented platform for distributed high-performance symbolic computation
Mathematics and Computers in Simulation - Special issue on high performance symbolic computing
Cloth modeling and animation
Robust treatment of collisions, contact and friction for cloth animation
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Comparing Efficiency of Integration Methods for Cloth Simulation
CGI '01 Computer Graphics International 2001
A Fast Finite Element Solution for Cloth Modelling
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Multi-Constraint Mesh Partitioning for Contact/Impact Computations
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Parallel techniques in irregular codes: cloth simulation as case of study
Journal of Parallel and Distributed Computing
Parallel implicit integration for cloth animations on distributed memory architectures
EG PGV'04 Proceedings of the 5th Eurographics conference on Parallel Graphics and Visualization
Physically based simulation of cloth on distributed memory architectures
Parallel Computing
Speculative parallel asynchronous contact mechanics
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Exploiting parallelism in physically-based simulations on multi-core processor architectures
EG PGV'07 Proceedings of the 7th Eurographics conference on Parallel Graphics and Visualization
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The physically based simulation of clothes in virtual environments is a highly demanding problem. It involves both modeling the internal material properties of the textile and the interaction with the surrounding scene. We present a parallel cloth simulation approach designed for distributed memory parallel architectures, in particular clusters built of commodity components. In this paper, we focus on the parallelization of the collision handling phase. In order to cope with the high irregularity of this problem we employ a task parallel approach with fully dynamic problem decomposition. This leads to a robust algorithm, regardless of the complexity of the scene. We report on initial performance measurements indicating the usefulness of our approach.